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Enregistrement W1531328707 · doi:10.1111/j.1532-5415.2007.01253.x

Optimizing Antimicrobial Use in Nursing Homes: No Longer Optional

2007· letter· en· W1531328707 sur OpenAlexaboutno aff
Lona Mody

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2007
Typeletter
Langueen
DomaineMedicine
ThématiqueUrinary Tract Infections Management
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute on Aging
Mots-clésMedicineNursing homesNursingAntimicrobialGerontologyMicrobiology

Résumé

récupéré en direct d'OpenAlex

Empirical and often inappropriate antimicrobial usage is extensive in all settings, but particularly in nursing homes (NHs).1 Frequently, a clinical course of antibiotics is initiated without an adequate clinical evaluation. For example, up to one-third of prescriptions for suspected urinary tract infection in NH residents are for asymptomatic patients who are bacteriuric.2 Inappropriate antibiotic usage also results from errors in drug choice, the duration or dosage of antibiotics, and the lack of appropriate laboratory testing. Unnecessary and inappropriate use of antimicrobials, like other systemic drugs, has dire consequences such as drug interactions, adverse drug events, development of antimicrobial resistance, and excess costs.1,3–5 Although appropriate antimicrobial usage is desired, its application in NHs is challenging, predominantly as a consequence of delay in diagnosis due to the absence of on-site physicians, lack of clinical findings in older adults, presentation of infection with generalized systemic symptoms (such as confusion and falls) rather than infection-specific presentation, and lack of on-site diagnostics.1 Several strategies have been studied or proposed to reduce inappropriate antimicrobial practices in NHs. These include antimicrobial use review by the infection control committee to monitor antibiotics prescribed in the NH; development and promotion of programs to optimize judicious antibiotic use; and as-needed audits to assess antibiotic appropriateness, prevalence of antibiotic resistance, and antibiotic-related adverse events.1,6 A recent study in multiple NHs in the United States and Canada evaluated the effectiveness of a more-proactive approach to minimizing inappropriate antimicrobial practices.7 This study advocated the use of clinical algorithms targeted to physicians and nurses and implementing a multicomponent program of education, written material, real-time reminders, and outreach visits to reduce urinary tract infections in NHs. The authors showed a 31% reduction in antimicrobial use for urinary tract infections, although they did not show a reduction in overall antimicrobial use. In another randomized study in 20 NHs in the United States, a multicomponent educational intervention focusing on NH-acquired pneumonia led to a significant improvement in guideline adherence, but the study did not show a change in the use of oral antibiotics.8 This issue of the Journal of the American Geriatrics Society (JAGS) contains two articles that evaluate the effect of educational interventions to optimize overall antimicrobial prescribing for common infections in NHs.9,10 The first study, by Monette et al., was conducted in eight public NHs in Ontario, Canada.9 Their goal was to propose a realistic educational intervention to optimize antibiotic prescribing practices for a variety of infections, including urinary tract infections, skin and soft tissue infections, and pneumonia. Because a facility-wide intervention was used, cluster randomization design was employed to reduce the risk of contamination between study and control units. With the assistance of each facility pharmacist, they developed an antibiotic guide listing common infections; recommended empirical antibiotics; and the dosage, frequency, and duration of treatment. This guide was then mailed twice (2 months apart) to the physicians in the experimental arm. Data on antibiotic prescribing practices were also collected. They demonstrated that inappropriate antibiotic prescriptions decreased 20.5% in the experimental group, compared with 5.1% in the control group. As with any randomized, controlled trial, true effect, confounding, bias, or random error could explain these results. Their study design, sample size calculations, and multivariate analyses reduced the chances of random error and other confounding factors, although the study's high refusal rate (19/30 NHs refused to participate), which could suggest that the study approach may not be generalizable to all NHs, could have introduced some bias. In addition, the need for an in-house pharmacist, because this intervention was essentially a pharmacist-directed intervention, could limit the applicability of this intervention. Nonetheless, the study demonstrated the effectiveness of mailing an antibiotic guide to physicians in reducing inappropriate antibiotic prescribing. The second study, by Schwartz et al.,10 evaluated the effectiveness of educational interventions targeted to physicians providing care at a single large hospital-based NH in Chicago, Illinois. Their intervention consisted of four teaching sessions, which included national guidelines, hospital resistance data, physician feedback, and distribution of booklets detailing institutional guidelines on optimal management of various infections found in NH residents. Their follow-up data showed improvement in the diagnosis of infection as reflected by the documentation of specific infections based on guideline-specific criteria. Furthermore, the authors noted improvement in antibiotic prescribing practices, aligning them more with their institutional guidelines for a sustained follow-up period of 2 years. Although their hospital-based NH facility had the advantage of on-site diagnostic capabilities and on-site infectious disease consultants, the study supports prior evidence that diagnosis and antibiotic prescribing can be improved in a sustained fashion by using educational interventions targeting healthcare providers. These studies prompt the obvious next research questions: Do these educational interventions aimed at adhering to established guidelines and optimizing antibiotic prescriptions eventually lead to reductions in morbidity, hospitalizations, and death and declines in antibiotic resistance? Do these interventions reduce drug interactions and adverse drug events? What are the short- and long-term cost implications? In summary, it is now well known that a significant proportion of antibiotic use in NHs is inappropriate and potentially harmful. Tough systemic challenges in diagnosing and effectively treating infections and the lack of clinical trials have limited prior efforts to optimize antibiotic use in this setting. Recent studies, including the two papers in this month's JAGS, offer simple interventions that could lead to a change in prescribing practices among NH physicians, although periodic education and reminders for all healthcare staff will be required for a sustained effect. Although the facilities that implement these interventions may differ from the study facilities, the proposed interventions are achievable under the leadership of an effective champion—an infection control practitioner or a medical director. With the growing body of evidence demonstrating the effectiveness of simple educational interventions, a proactive approach to curbing and eventually eliminating inappropriate antibiotic usage in NHs is no longer optional. Financial Disclosure: Dr. Mody is employed at the University of Michigan and Ann Arbor Department of Veterans Affairs Medical Center and she has received grant funding through the National Institute on Aging and had received the T. Franklin Award from the American Geriatrics Society and the Association of Subspecialty Professors. Author Contributions: Dr. Mody is the sole contributor to this editorial. Sponsor's Role: None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,361
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,292
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2007
Routes d'admission1
Résumé présentoui

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